I've spent sometime to refactor, add a pipeline and tests to https://github.com/DoctorLai/SimilarString
This repository contains a Flask application that uses the SentenceTransformer model to compute the similarity between two input sentences. The application is containerized using Docker and is configured to run in both development and production environments using gunicorn.
A Simple Server to Compute the score of similarity between two strings.
To build and run:
docker build -t mlserver .
docker run -p 5000:5000 -e FLASK_ENV=development mlserver
And sample curl:
curl -v -H "Content-type: application/json" --data '{"s1":"This is a Surface Studio Laptop","s2":"That is a car"}' http://127.0.0.1:5000
which returns:
{
'status': 'success',
's1': 'This is a Surface Studio Laptop',
's2': 'That is a car',
'score': 0.08295086771249771
}
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